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. 2019 May 9;10:1063. doi: 10.3389/fimmu.2019.01063

Table 3.

Ingenuity Pathway Analysis of differentially expressed genes from the fetal sheep astrocytes whole transcriptome analysis: naïve and second hit astrocytes after modulation of α7nAChR signaling.

comparison # genes Top 10 signaling pathways -log(p-value)
Single hit: LPS100 vs. Control 1835 NF-κB Signaling 15.8
Role of Pattern Recognition Receptors in Recognition of Bacteria & Viruses 14
Role of Macrophages, Fibroblasts and Endothelial Cells in Rheumatoid Arthritis 13.7
Dendritic Cell Maturation 13
Neuroinflammation Signaling Pathway 12.8
Role of IL-17A in Arthritis 12.2
Activation of IRF by Cytosolic Pattern Recognition Receptors 11.6
Death Receptor Signaling 11.3
Th1 and Th2 Activation Pathway 10.7
TREM1 Signaling 10.5
Single hit: LPS100+A10 vs. Control 1725 NF-κB Signaling 14.7
Role of Macrophages, Fibroblasts and Endothelial Cells in Rheumatoid Arthritis 13.7
Role of Osteoblasts, Osteoclasts and Chondrocytes in Rheumatoid Arthritis 13.1
Granulocyte Adhesion and Diapedesis 12.7
Role of Pattern Recognition Receptors in Recognition of Bacteria and Viruses 12.5
Hepatic Cholestasis 12.5
Toll-like Receptor Signaling 11.7
Axonal Guidance Signaling 11.5
IL-10 Signaling 11.1
Neuroinflammation Signaling Pathway 10.7
Single hit: LPS100+B100 vs. Control 1744 NF-κB Signaling 16.8
Role of Macrophages, Fibroblasts and Endothelial Cells in Rheumatoid Arthritis 16
Dendritic Cell Maturation 15.9
Neuroinflammation Signaling Pathway 15
Role of Pattern Recognition Receptors in Recognition of Bacteria & Viruses 14.8
TREM1 Signaling 12.8
Role of IL-17A in Arthritis 12.7
T Cell Exhaustion Signaling Pathway 11.9
Toll-like Receptor Signaling 11.8
PI3K Signaling in B Lymphocytes 11.6
Single hit: LPS100+A10 vs. LPS100 273 Granulocyte Adhesion and Diapedesis 6.23
Pathogenesis of Multiple Sclerosis 5.81
Agranulocyte Adhesion and Diapedesis 5.12
Th1 and Th2 Activation Pathway 4.45
Th2 Pathway 4.4
LPS/IL-1 Mediated Inhibition of RXR Function 3.81
NF-κB Signaling 3.71
Role of Osteoblasts, Osteoclasts and Chondrocytes in Rheumatoid Arthritis 3.63
Inhibition of Angiogenesis by TSP1 3.33
STAT3 Pathway 3.25
Single hit: LPS100+B100 vs. LPS100 0
Single hit: 292 Granulocyte Adhesion and Diapedesis 5.25
LPS100+A10 vs. LPS100+B100 Agranulocyte Adhesion and Diapedesis 4.99
LPS/IL-1 Mediated Inhibition of RXR Function 4.38
Hepatic Fibrosis / Hepatic Stellate Cell Activation 4.35
NF-κB Signaling 4.33
Role of Osteoblasts, Osteoclasts and Chondrocytes in Rheumatoid Arthritis 4.18
Pathogenesis of Multiple Sclerosis 3.97
STAT3 Pathway 3.94
p53 Signaling 3.57
Sirtuin Signaling Pathway 3.36
LPS100: single hit vs. second hit 3761 Hepatic Fibrosis / Hepatic Stellate Cell Activation 10.7
Fcγ Receptor-mediated Phagocytosis in Macrophages and Monocytes 7.69
Leukocyte Extravasation Signaling 6.82
Signaling by Rho Family GTPases 6.16
Iron homeostasis signaling pathway 6.02
LXR/RXR Activation 5.36
Epithelial Adherens Junction Signaling 4.99
Role of Osteoblasts, Osteoclasts and Chondrocytes in Rheumatoid Arthritis 4.96
Axonal Guidance Signaling 4.91
Tec Kinase Signaling 4.82
LPS100+A10: single hit vs. second hit 3307 Hepatic Fibrosis / Hepatic Stellate Cell Activation 13
Leukocyte Extravasation Signaling 8.79
Neuroinflammation Signaling Pathway 7.18
Fcγ Receptor-mediated Phagocytosis in Macrophages and Monocytes 6.99
Axonal Guidance Signaling 6.93
Phagosome Formation 6.85
Role of Pattern Recognition Receptors in Recognition of Bacteria and Viruses 6.67
Agranulocyte Adhesion and Diapedesis 6.24
GP6 Signaling Pathway 6.1
Granulocyte Adhesion and Diapedesis 5.92
LPS100+B100: single hit vs. second hit 3860 Hepatic Fibrosis / Hepatic Stellate Cell Activation 8.89
Fcγ Receptor-mediated Phagocytosis in Macrophages and Monocytes 8.03
Leukocyte Extravasation Signaling 7.26
Epithelial Adherens Junction Signaling 5.94
Iron homeostasis signaling pathway 5.78
Signaling by Rho Family GTPases 5.51
Axonal Guidance Signaling 5.18
Endothelin-1 Signaling 5.04
Role of Macrophages, Fibroblasts and Endothelial Cells in Rheumatoid Arthritis 5.01
Phagosome Formation 4.99

Differential analysis of count data was done with the Bioconductor limma package. Differentially expressed genes were selected, based on a 1.5-fold change and an FDR < 0.05. Up regulation and down regulation represent positive and negative log2 fold changes, respectively. For details on “raw gene” level, see our GitHub repository or directly here. Bold font highlights pathways common with microglia.

Orange: positive z-score; blue: negative z-score. For further details as raw data and visualized activity patterns see GitHub.

Significant genes in astrocytes cultures at an FDR < 0.05 and a 1.5-fold change sorted on log(p-value).